You know what you need. We ship it.
For companies ready to build - automation, retrieval, agentic workflows, internal tools, or production AI features. You have the use case. We bring the technical leadership to make it real.
30-min call. No pitch. You leave with one concrete next step - even if it’s not us.
What you get
- ✓Production AI that ships
- ✓Data pipelines built
- ✓Team enablement & handover
3-12 month engagement
You've moved past exploration. Now you need delivery.
Working AI systems. Not demos. Not proofs of concept.
AI Build is for companies that have moved past exploration. You know the use case. You understand the value. Now you need someone to build it - and build it right. We handle the full delivery: data pipelines, model integration, API development, agentic workflows, monitoring, fallbacks, and production hardening. Everything that turns an AI idea into a system that actually runs in the real world.
AI Automation
Internal workflows and business processes automated with AI - replacing manual work with reliable, auditable systems.
RAG Systems
Retrieval-augmented generation grounded in your data. Answers that come from your documents, not from the model’s training data.
Agentic Workflows
Multi-step AI workflows that combine reasoning, tool use, and human oversight into a single production process.
Production AI Features
AI integrated into your existing product - recommendations, classification, summarisation, or decision support.
Custom Model Workflows
When off-the-shelf isn’t enough, we build custom training pipelines or fine-tune existing models for your specific domain.
We build for production, not for demos.
The gap between a demo and a production system isn’t better code - it’s understanding how your entire operation works, what can break, and what happens when it does.
Built inside your reality, not around it.
Your data lives in specific systems. Your team works in specific ways. Your compliance requirements are real. We build inside those constraints, not pretend they don’t exist.
The boring stuff that makes AI reliable.
Error handling, fallbacks, rate limits, cost controls, monitoring, logging, and human-in-the-loop guardrails. The demo works on perfect data. Production works when everything goes wrong.
You own it. You operate it.
Documentation, runbooks, training, and a team that understands what was built and why. You don’t become dependent on us - you become capable without us.
Real example. Real constraints. Real outcome.
Situation
A logistics company processing 50,000+ support tickets per month wanted to reduce response times. A previous vendor had built a chatbot that answered 15% accurately - the rest needed human escalation anyway. Net impact: zero.
Constraints
Support data spread across Zendesk, email, and a legacy CRM. GDPR requirements. The team was skeptical after the previous failure. Needed 95%+ accuracy before agents would trust the system.
What we changed
Rebuilt from the data layer up. Unified three data sources into a single knowledge base. Built a RAG system grounded in resolved tickets, not documentation. Added confidence scoring - below 85% the system drafts but a human reviews. Above 85%, it sends automatically. Built a feedback loop so the system improves from corrections.
Outcomes
- ✓Resolution time: 4 hours → 12 minutes (automated)
- ✓92% of tickets handled without human intervention within 60 days
- ✓System still running 18 months later - zero outages
Build phases, not black boxes.
Foundation
Weeks 1-3Map your systems, data sources, and integration points. Set up infrastructure, data pipelines, and development environment. Define success criteria and acceptance tests.
Core Build
Weeks 4-8Build the core system: model integration, APIs, workflows, and the primary user interface. Working functionality at the end of each week. No long stretches of silence.
Hardening
Weeks 9-11Error handling, edge cases, performance tuning, security review, documentation. This is the phase that separates production systems from demos.
Handover
Week 12Documentation, runbooks, training sessions. Your team takes ownership. The system is designed to run without us.
You ship a working system. You own it. You can operate it.
- ✓ Working production system deployed in your environment
- ✓ Data pipelines - clean, documented, monitored
- ✓ API documentation and integration guide
- ✓ Monitoring dashboards and alerting setup
- ✓ Runbooks for common operations and incident response
- ✓ Architecture decision records (why we built it this way)
- ✓ Team training and knowledge transfer sessions
- ✓ Handover documentation for your engineering team
Typical engagement: 3-12 months. Output is production software your team owns, runs, and extends without us.
This is NOT the right fit if:
We’re selective about the projects we take on. If any of these describe your situation, a different approach will serve you better.
You’re not sure what to build yet.
→ Start with AI Audit - we diagnose first.
You need ongoing strategic leadership, not project delivery.
→ Fractional CTO is a better fit for leadership engagements.
You’re looking for someone to maintain an existing system long-term.
→ We hand over - you operate. This service is built for independence, not dependency.
You need a team of 10+ engineers for a massive platform rebuild.
→ We’re a senior partner, not a staff augmentation firm.
Not sure? Book a free 30-min call. We’ll tell you honestly which service fits - even if it’s none of them.
Ready to ship, not pilot?
30 minutes. We listen to where you are, what you’ve tried, and what good looks like. You leave with one concrete next step - even if it’s not us.
Book an AI Readiness Call